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Job not on LinkedIn
🕒 Yesterday
Job not on LinkedIn
Mid/Senior AI Engineer at TensorOps, designing and deploying ML systems for enterprise clients. Collaborating with teams to drive AI projects from prototype to production-grade deployment.
AWS
Azure
Google Cloud Platform
Python
PyTorch
Scikit-Learn
Tensorflow
Job not on LinkedIn
🕒 Yesterday
Job not on LinkedIn
AI/ML Delivery Engineer at GDIT designing and implementing AI solutions for biomedical research. Leading architecture, technical solutions, and advancing data-driven decision-making in healthcare.
Cloud
🕒 3 days ago
Full Stack Software Engineer responsible for building features for BJAK's AI Neobank application. Working across frontend, backend, and tools to deliver rapid product iterations.
🕒 3 days ago
Applied AI Engineer developing AI-native systems for BJAK's financial services application. Collaborating with product and engineering teams to enhance customer experiences.
JavaScript
Python
TypeScript
🕒 3 days ago
Applied AI Engineer building AI-native systems for BJAK's AI Neobank app. Collaborating with teams to enhance financial services through AI innovations.
Python
🕒 4 days ago
Android Developer building the native Android experience for BJAK's AI Neobank App in Korea. Focus on clean user flows, fast performance, and product quality.
Android
Kotlin
🕒 4 days ago
iOS Engineer responsible for developing features for BJAK's AI Neobank app. Collaborating globally to create user-friendly financial applications.
iOS
Swift
🕒 May 20
Senior AI Engineer at Supernal building AI Employee software solutions for SMB customers with a focus on production deployments and technical delivery.
Job not on LinkedIn
🕒 April 22
Job not on LinkedIn
AI Engineer developing features end-to-end for cannabis retail platform. Collaborating in a remote-first team to optimize and innovate solutions using AI tools.
AWS
Cloud
Docker
Google Cloud Platform
JavaScript
MySQL
Node.js
Postgres
React
TypeScript
.NET
Job not on LinkedIn
🕒 April 6
Job not on LinkedIn
Senior Lead AI Engineer leading end-to-end AI/ML solution delivery and technical mentorship. Join OutForce focused on building high-performing teams and long-term careers.
AWS
Azure
Cloud
Docker
Google Cloud Platform
Kubernetes
Python
PyTorch
Tensorflow
Job not on LinkedIn
🕒 March 25
Job not on LinkedIn
Senior Applied AI Engineer creating AI agents that transform natural language to applications at Bolt.new. Join a fully remote team innovating on AI-powered development.
TypeScript
🕒 January 29
Applied AI Engineer working with enterprise customers to build LLM-powered workflows. Focused on design, build, and delivery of production-grade AI agents.
🗣️🇰🇷 Korean Required
JavaScript
Python
React
TypeScript
Job not on LinkedIn
🕒 January 23
Job not on LinkedIn
AI Researcher focused on AI architecture research analyzing and advancing next-gen model architectures in a remote global team.
PyTorch
Job not on LinkedIn
🕒 January 23
Job not on LinkedIn
Machine Learning Engineer focusing on AI architecture research and prototyping next-generation models. Collaborating with a small team to influence a Series-A company's technical direction.
PyTorch
Job not on LinkedIn
🕒 August 8, 2025
Job not on LinkedIn
Join Infinity to build full-stack AI applications and prototypes in a fast-paced environment.
JavaScript
Next.js
Open Source
Python
React
The average salary for remote ai engineers in South Korea is ₩51,489,956 per year. This is based on data from 32 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
⚪️ Entry-level AI Engineer (0 yrs) | 2 | ₩0 |
🟢 Junior AI Engineer (1-2 yrs) | 1 | ₩0 |
🟡 Mid-level AI Engineer (2-4 yrs) | 20 | ₩0 |
🟠 Senior AI Engineer (5-9 yrs) | 8 | ₩184,397,325 |
🔴 Lead AI Engineer (10+ yrs) | 1 | ₩172,500,000 |
We analyzed 16 job listings in the last year and found it takes about 41 days for employers to close a job opening.
We reviewed 32 job postings and found the top 10 skills employers are asking for most often are:
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.
